Principal Component Analysis (PCA) for Feature Selection in Python

Instructor: Yasaman Amannejad (Mount Royal University)

This session will introduce principle component analysis (PCA) and will include hands-on examples to identify key features in datasets prior to application of other regression techniques.

Target audience: general

Duration: 1.5 hours

Level: intermediate

Prerequisites: Intermediate knowledge of Python and/or attendance to the Introduction to Python session.

Laptop software: All attendees will need to bring their laptops with wireless access and an installation of Anaconda (free open-source software).